Inputs
| Parameter | Description | Data Type | Required | Range |
|---|---|---|---|---|
image | The input image to be upscaled and enhanced. | IMAGE | Yes | - |
prompt | A text description to guide the creative enhancement of the image. This is optional (default: empty). | STRING | No | - |
scale_factor | The factor by which to upscale the image’s dimensions. | COMBO | Yes | "2x""4x""8x""16x" |
optimized_for | The style or content type to optimize the enhancement process for. | COMBO | Yes | "standard""soft_portraits""hard_portraits""art_n_illustration""videogame_assets""nature_n_landscapes""films_n_photography""3d_renders""science_fiction_n_horror" |
creativity | Controls the level of creative interpretation applied to the image (default: 0). | INT | No | -10 to 10 |
hdr | The level of definition and detail (default: 0). | INT | No | -10 to 10 |
resemblance | The level of resemblance to the original image (default: 0). | INT | No | -10 to 10 |
fractality | The strength of the prompt and intricacy per square pixel (default: 0). | INT | No | -10 to 10 |
engine | The specific AI engine to use for processing. This is an advanced parameter. | COMBO | Yes | "automatic""magnific_illusio""magnific_sharpy""magnific_sparkle" |
auto_downscale | When enabled, the node will automatically downscale the input image if the requested upscale would exceed the maximum allowed output size of 25.3 megapixels. This is an advanced parameter (default: False). | BOOLEAN | No | - |
- The input
imagemust be exactly one image. - The input image must have a minimum height and width of 160 pixels.
- The input image’s aspect ratio must be between 1:3 and 3:1.
- The final output size (input dimensions multiplied by the
scale_factor) cannot exceed 25,300,000 pixels. Ifauto_downscaleis disabled and this limit would be exceeded, the node will raise an error.
Outputs
| Output Name | Description | Data Type |
|---|---|---|
image | The creatively enhanced and upscaled output image. | IMAGE |
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub
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